Instructions to use FlexingD/yarn-mistral-7B-64k-instruct-alpaca-cleaned-origin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FlexingD/yarn-mistral-7B-64k-instruct-alpaca-cleaned-origin with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Mistral-7b-64k") model = PeftModel.from_pretrained(base_model, "FlexingD/yarn-mistral-7B-64k-instruct-alpaca-cleaned-origin") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d268dd9ff7fc457967c1f0a6005c56476548c17bd6c8a1e5ca6fe4b4a5e9a8a
- Size of remote file:
- 340 MB
- SHA256:
- 6cbcd4fc7081136506343047a8b308f710f76c020a0eb9299c2dd642ede1abb7
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